EDA and Salary prediction of Data Science Employees using ML models
Global Airports Data Analysis & Machine Learning Project - explores worldwide airport data including location, codes (IATA/ICAO), and operational details. Includes data cleaning, exploratory data analysis, visualization, and predictive modeling to uncover insights about airport distribution, traffic patterns, and classifications.
End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.
Machine Learning project to predict survival using Titanic dataset.
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